REMOVED: Detecting anomalies within Unmanned Aerial Vehicle (UAV) video based on contextual saliency-Reference-Cited by-同舟云学术

REMOVED: Detecting anomalies within Unmanned Aerial Vehicle (UAV) video based on contextual saliency

Published:2020-11 Issue: Volume:96 Page:106715
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Al-Gabalawy Mostafa^ORCID

Publisher

Elsevier BV

Subject

Software

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4. J. Sokalski, T.P. Breckon, I. Cowling, Automatic salient object detection in UAV imagery, in: Proc. 25th International Conference on Unmanned Air Vehicle Systems, 2010, pp. 11.1–11.12.

5. Salient object detection approach in UAV video;Zhang;Proc. SPIE,2013

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1. Detecting and localizing the anomalies in video surveillance using deep neuralnetwork with advanced feature descriptor;2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2022-01-28

2. Removal notice to: “Detecting Anomalies within Unmanned Aerial Vehicle (UAV) Video Based on Contextual Saliency” [Appl. Soft Comput. 96 (2020) 106715];Applied Soft Computing;2021-10

3. Detecting Salient Image Objects Using Color Histogram Clustering for Region Granularity;Journal of Imaging;2021-09-16

4. Retracted : Optimizing the convolutional network layers using the Viola–Jones framework and ternary weight networks;International Journal of Intelligent Systems;2021-05-09

5. RETRACTED ARTICLE: Temporal and non-temporal contextual saliency analysis for generalized wide-area (GWA) search within UAV video;The Visual Computer;2021-01-03